U.S. Department of Transportation
Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC 20590
202-366-4000
Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations
| REPORT |
| This report is an archived publication and may contain dated technical, contact, and link information |
 |
| Publication Number: FHWA-HRT-22-072 Date: June 2022 |
Publication Number: FHWA-HRT-22-072 Date: June 2022 |
PDF Version (695 KB)
Technical Report Documentation Page
| 1. Report No.
FHWA-HRT-22-072 |
2. Government Accession No. | 3 Recipient's Catalog No. | ||
| 4. Title and Subtitle
Driver Adaptation to Vehicle Automation: The Effect of Driver Assistance Systems on Driving Performance and System Monitoring |
5. Report Date
June 2022 |
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| 6. Performing Organization Code HRSO-30 |
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| 7. Author(s)
Starla M. Weaver (ORCID: 0000-0002-9559-8337), Szu-FuChao (ORCID: 0000-0002-2037-5200), Brian H. Philips(ORCID: 0000-0002-8426-0867) |
8. Performing Organization Report No. | |||
| 9. Performing Organization Name and Address
Leidos, Inc |
10. Work Unit No. HRSO-30 |
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| 11. Contract or Grant No.
DTFH61-13-D-00024 |
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| 12. Sponsoring Agency Name and Address
Office of Safety Research and Development |
13. Type of Report and Period Covered
Technical Report Sept 2015–June 2022 |
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| 14. Sponsoring Agency Code
Intelligent Transportation Systems Joint ProgramOffice (ITS/JPO) and HRSO-30 |
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| 15. Supplementary Notes
Brian Philips (HRSO-30) is the contract officer's representative and the Government task manager. |
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| 16. Abstract
Little is known about how driving performance and attention change over time with increased automation. The current study assessed the effect of varying levels of vehicle automation on driver performance over time. Participants gained experience with advanced driver assistance systems (ADAS) across four sessions in the driving simulator. The specific driver assistance system was manipulated between subjects and included cooperative adaptive cruise control (CACC), lane-keeping assist (LKA), a combination of CACC and LKA (CACC + LKA), and a control condition with no driving assistance features. Adaptation was assessed by measuring drivers' response to uneventful roadway conditions and unexpected critical events during both earlier and later exposure to the technology. Overall, the results of the current study paint an optimistic view of driver assistance technology. Participants who used the technology were able to do so in a way that benefited their driving performance and allowed them to direct more of their attention to the road ahead. Further, driver adaptation was not associated with impaired responses to emergency events. The results suggest that Level 1 driver assistance systems have the potential to benefit driver safety even after drivers have adapted to the technology following repeated use. |
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| 17. Key Words
Advanced driver assistance systems, behavioraladaptation, adaptive cruise control, lane-keepingassist |
18. Distribution Statement
No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161. http://www.ntis.gov |
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| 19. Security Classification (of this report) Unclassified |
20. Security Classification (of this page) Unclassified |
21. No. of Pages
29 |
22. Price
N/A |
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| Form DOT F 1700.7 (8-72) | Reproduction of completed page authorized |
